The department offers statistical advice on study design (a.o. sample size) and data analysis to all researchers in the UMC+ , as well as support in data analysis and reporting. A single consult is offered for free. Repeated consults or support in data analysis and reporting are offered in exchange for co-authorship, co-promotorship, or payment, depending on the amount of support needed.
Members of the department have expert knowledge not just on standard statistical methods, but also on advanced methods such as mixed/multilevel regression, structural equations modeling (SEM), group based trajectory modeling, missing data handling, and Bayesian analyses. Software used includes SPSS, R, STATA, SAS, MLWin, MPLus and Lisrel for SEM, Matlab, JAGS and WinBUGS (Bayesian stats), and PASS (sample sizes).
For details, see the individual staff members’ pages
Researchers who consider statistical help in their data analyses, are invited and advised to consult us already in the phase of study design.
In statistics, just like in health care, prevention is the better cure !
Whom to contact for first statistical advice ?
For researchers in the CAPHRI program Promoting health and personalised care (PHPC):
dr. Math Candel (for researchers from the dept. of Health Promotion)
dr. Bjorn Winkens (for researchers from the dept. of Family Practice)
For researchers in the CAPHRI program Ageing and long-term care (ALTC):
dr. Frans Tan
dr. Ton Ambergen
For researchers in the School of Health Education (SHE):
dr. Shahab Jolani
For all other researchers in the FHML and UMC:
dr. Ton Ambergen
dr. Bjorn Winkens
Depending on the expertise needed, as well as on the timing of the request and the prior existence of collaboration,
the researcher may subsequently be referred to another statistician in our dept. for further support.